Profiling Report

Dataset statistics

Number of variables	26
Number of observations	854
Missing cells	854
Missing cells (%)	3.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	199.1 KiB
Average record size in memory	238.7 B

Variable types

Numeric	15
Categorical	8
DateTime	1
Text	1
Unsupported	1

Alerts

`statusId` has constant value "1"	Constant
`status` has constant value "Finished"	Constant
`constructor_ranking_points_before_race_mean` has 854 (100.0%) missing values	Missing
`resultId` has unique values	Unique
`milliseconds` has unique values	Unique
`constructor_ranking_points_before_race_mean` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`points` has 201 (23.5%) zeros	Zeros
`driver_ranking_points_before_race` has 73 (8.5%) zeros	Zeros
`constructor_ranking_points_before_race` has 44 (5.2%) zeros	Zeros

Reproduction

Analysis started	2024-05-18 11:04:03.096797
Analysis finished	2024-05-18 11:08:10.285789
Duration	4 minutes and 7.19 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

resultId
Real number (ℝ)

UNIQUE

Distinct	854
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25727.762

Minimum	24966
Maximum	26403
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	24966
5-th percentile	25047.65
Q1	25407.25
median	25754.5
Q3	26078.75
95-th percentile	26346.35
Maximum	26403
Range	1437
Interquartile range (IQR)	671.5

Descriptive statistics

Standard deviation	409.93776
Coefficient of variation (CV)	0.015933673
Kurtosis	-1.1078559
Mean	25727.762
Median Absolute Deviation (MAD)	337
Skewness	-0.15487779
Sum	21971509
Variance	168048.97
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24966	1	0.1%
25951	1	0.1%
25953	1	0.1%
25966	1	0.1%
25967	1	0.1%
25968	1	0.1%
25969	1	0.1%
25970	1	0.1%
25971	1	0.1%
25972	1	0.1%
Other values (844)	844	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24966	1	0.1%
24967	1	0.1%
24968	1	0.1%
24969	1	0.1%
24971	1	0.1%
24972	1	0.1%
24973	1	0.1%
24974	1	0.1%
24975	1	0.1%
24976	1	0.1%

Value	Count	Frequency (%)
26403	1	0.1%
26402	1	0.1%
26401	1	0.1%
26400	1	0.1%
26399	1	0.1%
26398	1	0.1%
26397	1	0.1%
26396	1	0.1%
26395	1	0.1%
26394	1	0.1%

raceId
Real number (ℝ)

Distinct	72
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1090.9789

Minimum	1051
Maximum	1126
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1051
5-th percentile	1055
Q1	1074
median	1092
Q3	1110
95-th percentile	1124
Maximum	1126
Range	75
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	21.868884
Coefficient of variation (CV)	0.020045194
Kurtosis	-1.1648491
Mean	1090.9789
Median Absolute Deviation (MAD)	18
Skewness	-0.12965506
Sum	931696
Variance	478.24809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1126	19	2.2%
1063	18	2.1%
1102	18	2.1%
1092	18	2.1%
1125	17	2.0%
1120	17	2.0%
1119	17	2.0%
1110	17	2.0%
1108	17	2.0%
1099	17	2.0%
Other values (62)	679	79.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1051	6	0.7%
1052	10	1.2%
1053	13	1.5%
1054	11	1.3%
1055	7	0.8%
1056	7	0.8%
1057	16	1.9%
1058	4	0.5%
1059	11	1.3%
1060	9	1.1%

Value	Count	Frequency (%)
1126	19	2.2%
1125	17	2.0%
1124	9	1.1%
1123	9	1.1%
1122	11	1.3%
1121	10	1.2%
1120	17	2.0%
1119	17	2.0%
1118	9	1.1%
1117	15	1.8%

race_name
Categorical

Distinct	29
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Saudi Arabian Grand Prix	52
Miami Grand Prix	51
Belgian Grand Prix	48
Bahrain Grand Prix	47
British Grand Prix	42
Other values (24)	614

Length

Max length	25
Median length	22
Mean length	19.322014
Min length	16

Characters and Unicode

Total characters	16501
Distinct characters	43
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bahrain Grand Prix
2nd row	Bahrain Grand Prix
3rd row	Bahrain Grand Prix
4th row	Bahrain Grand Prix
5th row	Bahrain Grand Prix

Common Values

Value	Count	Frequency (%)
Saudi Arabian Grand Prix	52	6.1%
Miami Grand Prix	51	6.0%
Belgian Grand Prix	48	5.6%
Bahrain Grand Prix	47	5.5%
British Grand Prix	42	4.9%
Italian Grand Prix	42	4.9%
Azerbaijan Grand Prix	41	4.8%
Abu Dhabi Grand Prix	39	4.6%
Japanese Grand Prix	37	4.3%
Dutch Grand Prix	35	4.1%
Other values (19)	420	49.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prix	854	30.7%
grand	854	30.7%
saudi	52	1.9%
arabian	52	1.9%
miami	51	1.8%
belgian	48	1.7%
bahrain	47	1.7%
british	42	1.5%
italian	42	1.5%
azerbaijan	41	1.5%
Other values (28)	700	25.2%

Most occurring characters

Value	Count	Frequency (%)
r	2065	12.5%
a	2010	12.2%
	1929	11.7%
i	1697	10.3%
n	1485	9.0%
d	971	5.9%
P	896	5.4%
x	880	5.3%
G	854	5.2%
e	382	2.3%
Other values (33)	3332	20.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16501	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	2065	12.5%
a	2010	12.2%
	1929	11.7%
i	1697	10.3%
n	1485	9.0%
d	971	5.9%
P	896	5.4%
x	880	5.3%
G	854	5.2%
e	382	2.3%
Other values (33)	3332	20.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16501	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	2065	12.5%
a	2010	12.2%
	1929	11.7%
i	1697	10.3%
n	1485	9.0%
d	971	5.9%
P	896	5.4%
x	880	5.3%
G	854	5.2%
e	382	2.3%
Other values (33)	3332	20.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16501	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	2065	12.5%
a	2010	12.2%
	1929	11.7%
i	1697	10.3%
n	1485	9.0%
d	971	5.9%
P	896	5.4%
x	880	5.3%
G	854	5.2%
e	382	2.3%
Other values (33)	3332	20.2%

year
Categorical

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

2023	294
2022	273
2021	212
2024	75

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	3416
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2021
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2023	294	34.4%
2022	273	32.0%
2021	212	24.8%
2024	75	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2023	294	34.4%
2022	273	32.0%
2021	212	24.8%
2024	75	8.8%

Most occurring characters

Value	Count	Frequency (%)
2	1981	58.0%
0	854	25.0%
3	294	8.6%
1	212	6.2%
4	75	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3416	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	1981	58.0%
0	854	25.0%
3	294	8.6%
1	212	6.2%
4	75	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3416	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	1981	58.0%
0	854	25.0%
3	294	8.6%
1	212	6.2%
4	75	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3416	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	1981	58.0%
0	854	25.0%
3	294	8.6%
1	212	6.2%
4	75	2.2%

race_date
Date

Distinct	72
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Minimum	2021-03-28 00:00:00
Maximum	2024-05-05 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

driverId
Real number (ℝ)

Distinct	29
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	703.73302

Minimum	1
Maximum	859
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	817
median	839
Q3	846
95-th percentile	855
Maximum	859
Range	858
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	305.87283
Coefficient of variation (CV)	0.43464328
Kurtosis	1.4298636
Mean	703.73302
Median Absolute Deviation (MAD)	9
Skewness	-1.8479687
Sum	600988
Variance	93558.187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
830	66	7.7%
1	65	7.6%
832	59	6.9%
844	58	6.8%
846	57	6.7%
815	57	6.7%
4	48	5.6%
847	47	5.5%
842	46	5.4%
840	41	4.8%
Other values (19)	310	36.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	65	7.6%
4	48	5.6%
8	4	0.5%
9	1	0.1%
20	19	2.2%
807	14	1.6%
815	57	6.7%
817	32	3.7%
822	40	4.7%
825	18	2.1%

Value	Count	Frequency (%)
859	2	0.2%
858	10	1.2%
857	20	2.3%
856	3	0.4%
855	22	2.6%
854	12	1.4%
853	2	0.2%
852	30	3.5%
849	12	1.4%
848	27	3.2%

forename
Categorical

Distinct	29
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Max	66
Lewis	65
Carlos	59
Charles	58
Lando	57
Other values (24)	549

Length

Max length	9
Median length	8
Mean length	5.881733
Min length	3

Characters and Unicode

Total characters	5023
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Lewis
2nd row	Max
3rd row	Valtteri
4th row	Lando
5th row	Charles

Common Values

Value	Count	Frequency (%)
Max	66	7.7%
Lewis	65	7.6%
Carlos	59	6.9%
Charles	58	6.8%
Lando	57	6.7%
Sergio	57	6.7%
Fernando	48	5.6%
George	47	5.5%
Pierre	46	5.4%
Lance	41	4.8%
Other values (19)	310	36.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
max	66	7.7%
lewis	65	7.6%
carlos	59	6.9%
charles	58	6.8%
lando	57	6.7%
sergio	57	6.7%
fernando	48	5.6%
george	47	5.5%
pierre	46	5.4%
lance	41	4.8%
Other values (19)	310	36.3%

Most occurring characters

Value	Count	Frequency (%)
e	657	13.1%
a	572	11.4%
r	449	8.9%
n	368	7.3%
i	363	7.2%
o	313	6.2%
s	271	5.4%
l	228	4.5%
L	175	3.5%
t	144	2.9%
Other values (27)	1483	29.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5023	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	657	13.1%
a	572	11.4%
r	449	8.9%
n	368	7.3%
i	363	7.2%
o	313	6.2%
s	271	5.4%
l	228	4.5%
L	175	3.5%
t	144	2.9%
Other values (27)	1483	29.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5023	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	657	13.1%
a	572	11.4%
r	449	8.9%
n	368	7.3%
i	363	7.2%
o	313	6.2%
s	271	5.4%
l	228	4.5%
L	175	3.5%
t	144	2.9%
Other values (27)	1483	29.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5023	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	657	13.1%
a	572	11.4%
r	449	8.9%
n	368	7.3%
i	363	7.2%
o	313	6.2%
s	271	5.4%
l	228	4.5%
L	175	3.5%
t	144	2.9%
Other values (27)	1483	29.5%

surname
Categorical

Distinct	29
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Verstappen	66
Hamilton	65
Sainz	59
Leclerc	58
Norris	57
Other values (24)	549

Length

Max length	10
Median length	8
Mean length	6.6440281
Min length	4

Characters and Unicode

Total characters	5674
Distinct characters	43
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Hamilton
2nd row	Verstappen
3rd row	Bottas
4th row	Norris
5th row	Leclerc

Common Values

Value	Count	Frequency (%)
Verstappen	66	7.7%
Hamilton	65	7.6%
Sainz	59	6.9%
Leclerc	58	6.8%
Norris	57	6.7%
Pérez	57	6.7%
Alonso	48	5.6%
Russell	47	5.5%
Gasly	46	5.4%
Stroll	41	4.8%
Other values (19)	310	36.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
verstappen	66	7.7%
hamilton	65	7.6%
sainz	59	6.9%
leclerc	58	6.8%
norris	57	6.7%
pérez	57	6.7%
alonso	48	5.6%
russell	47	5.5%
gasly	46	5.4%
stroll	41	4.8%
Other values (20)	313	36.5%

Most occurring characters

Value	Count	Frequency (%)
e	470	8.3%
o	454	8.0%
l	453	8.0%
s	442	7.8%
a	429	7.6%
r	427	7.5%
n	409	7.2%
t	332	5.9%
i	331	5.8%
c	243	4.3%
Other values (33)	1684	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5674	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	470	8.3%
o	454	8.0%
l	453	8.0%
s	442	7.8%
a	429	7.6%
r	427	7.5%
n	409	7.2%
t	332	5.9%
i	331	5.8%
c	243	4.3%
Other values (33)	1684	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5674	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	470	8.3%
o	454	8.0%
l	453	8.0%
s	442	7.8%
a	429	7.6%
r	427	7.5%
n	409	7.2%
t	332	5.9%
i	331	5.8%
c	243	4.3%
Other values (33)	1684	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5674	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	470	8.3%
o	454	8.0%
l	453	8.0%
s	442	7.8%
a	429	7.6%
r	427	7.5%
n	409	7.2%
t	332	5.9%
i	331	5.8%
c	243	4.3%
Other values (33)	1684	29.7%

constructorId
Real number (ℝ)

Distinct	12
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.091335

Minimum	1
Maximum	215
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	6
median	51
Q3	131
95-th percentile	214
Maximum	215
Range	214
Interquartile range (IQR)	125

Descriptive statistics

Standard deviation	84.289548
Coefficient of variation (CV)	1.0023571
Kurtosis	-1.4089472
Mean	84.091335
Median Absolute Deviation (MAD)	50
Skewness	0.43645415
Sum	71814
Variance	7104.7279
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
131	125	14.6%
9	123	14.4%
6	117	13.7%
1	104	12.2%
117	88	10.3%
214	81	9.5%
213	62	7.3%
3	53	6.2%
51	51	6.0%
210	44	5.2%
Other values (2)	6	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	104	12.2%
3	53	6.2%
6	117	13.7%
9	123	14.4%
15	3	0.4%
51	51	6.0%
117	88	10.3%
131	125	14.6%
210	44	5.2%
213	62	7.3%

Value	Count	Frequency (%)
215	3	0.4%
214	81	9.5%
213	62	7.3%
210	44	5.2%
131	125	14.6%
117	88	10.3%
51	51	6.0%
15	3	0.4%
9	123	14.4%
6	117	13.7%

constructor_name
Categorical

Distinct	12
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Mercedes	125
Red Bull	123
Ferrari	117
McLaren	104
Aston Martin	88
Other values (7)	297

Length

Max length	14
Median length	12
Mean length	9.1932084
Min length	6

Characters and Unicode

Total characters	7851
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mercedes
2nd row	Red Bull
3rd row	Mercedes
4th row	McLaren
5th row	Ferrari

Common Values

Value	Count	Frequency (%)
Mercedes	125	14.6%
Red Bull	123	14.4%
Ferrari	117	13.7%
McLaren	104	12.2%
Aston Martin	88	10.3%
Alpine F1 Team	81	9.5%
AlphaTauri	62	7.3%
Williams	53	6.2%
Alfa Romeo	51	6.0%
Haas F1 Team	44	5.2%
Other values (2)	6	0.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
f1	128	9.3%
team	128	9.3%
mercedes	125	9.1%
red	123	9.0%
bull	123	9.0%
ferrari	117	8.5%
mclaren	104	7.6%
aston	88	6.4%
martin	88	6.4%
alpine	81	5.9%
Other values (7)	267	19.5%

Most occurring characters

Value	Count	Frequency (%)
e	982	12.5%
a	756	9.6%
r	733	9.3%
l	546	7.0%
	518	6.6%
i	454	5.8%
n	361	4.6%
M	317	4.0%
s	310	3.9%
A	282	3.6%
Other values (19)	2592	33.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7851	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	982	12.5%
a	756	9.6%
r	733	9.3%
l	546	7.0%
	518	6.6%
i	454	5.8%
n	361	4.6%
M	317	4.0%
s	310	3.9%
A	282	3.6%
Other values (19)	2592	33.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7851	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	982	12.5%
a	756	9.6%
r	733	9.3%
l	546	7.0%
	518	6.6%
i	454	5.8%
n	361	4.6%
M	317	4.0%
s	310	3.9%
A	282	3.6%
Other values (19)	2592	33.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7851	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	982	12.5%
a	756	9.6%
r	733	9.3%
l	546	7.0%
	518	6.6%
i	454	5.8%
n	361	4.6%
M	317	4.0%
s	310	3.9%
A	282	3.6%
Other values (19)	2592	33.0%

avg_season_pit_stop_duration
Real number (ℝ)

Distinct	40
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.435013

Minimum	21.888706
Maximum	26.523905
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	21.888706
5-th percentile	22.4348
Q1	23.951578
median	24.331589
Q3	24.943854
95-th percentile	26.004952
Maximum	26.523905
Range	4.6351989
Interquartile range (IQR)	0.99227535

Descriptive statistics

Standard deviation	0.87202156
Coefficient of variation (CV)	0.035687379
Kurtosis	0.79527207
Mean	24.435013
Median Absolute Deviation (MAD)	0.40311177
Skewness	-0.34748187
Sum	20867.501
Variance	0.76042161
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
23.92847727	39	4.6%
24.65968421	39	4.6%
23.95157831	39	4.6%
23.8815375	38	4.4%
24.11813333	38	4.4%
23.66263768	36	4.2%
24.1285875	35	4.1%
24.33158904	35	4.1%
24.30185714	35	4.1%
23.97802564	34	4.0%
Other values (30)	486	56.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21.88870588	11	1.3%
22.021375	3	0.4%
22.24631579	10	1.2%
22.32884211	11	1.3%
22.4348	12	1.4%
22.9196087	10	1.2%
23.66263768	36	4.2%
23.69121053	4	0.5%
23.8815375	38	4.4%
23.89947826	7	0.8%

Value	Count	Frequency (%)
26.52390476	3	0.4%
26.12269014	5	0.6%
26.04976389	18	2.1%
26.00495238	18	2.1%
25.84651316	24	2.8%
25.82255814	14	1.6%
25.65984058	20	2.3%
25.4671573	22	2.6%
25.43355072	9	1.1%
25.24832258	20	2.3%

start_position
Real number (ℝ)

Distinct	20
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5374707

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	13
95-th percentile	18
Maximum	20
Range	19
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.4083324
Coefficient of variation (CV)	0.63348181
Kurtosis	-0.93893058
Mean	8.5374707
Median Absolute Deviation (MAD)	4
Skewness	0.41116325
Sum	7291
Variance	29.25006
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	65	7.6%
1	62	7.3%
3	62	7.3%
6	61	7.1%
4	60	7.0%
7	56	6.6%
5	55	6.4%
8	47	5.5%
9	47	5.5%
11	41	4.8%
Other values (10)	298	34.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	62	7.3%
2	65	7.6%
3	62	7.3%
4	60	7.0%
5	55	6.4%
6	61	7.1%
7	56	6.6%
8	47	5.5%
9	47	5.5%
10	39	4.6%

Value	Count	Frequency (%)
20	15	1.8%
19	23	2.7%
18	27	3.2%
17	27	3.2%
16	30	3.5%
15	31	3.6%
14	34	4.0%
13	33	3.9%
12	39	4.6%
11	41	4.8%

end_positionText
Categorical

Distinct	20
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

1	72
2	72
3	71
4	71
6	68
Other values (15)	500

Length

Max length	2
Median length	1
Mean length	1.2915691
Min length	1

Characters and Unicode

Total characters	1103
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	1
2nd row	2
3rd row	3
4th row	4
5th row	6

Common Values

Value	Count	Frequency (%)
1	72	8.4%
2	72	8.4%
3	71	8.3%
4	71	8.3%
6	68	8.0%
5	67	7.8%
7	64	7.5%
8	63	7.4%
9	57	6.7%
10	48	5.6%
Other values (10)	201	23.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	72	8.4%
2	72	8.4%
3	71	8.3%
4	71	8.3%
6	68	8.0%
5	67	7.8%
7	64	7.5%
8	63	7.4%
9	57	6.7%
10	48	5.6%
Other values (10)	201	23.5%

Most occurring characters

Value	Count	Frequency (%)
1	365	33.1%
2	111	10.1%
3	99	9.0%
4	99	9.0%
5	91	8.3%
6	86	7.8%
7	79	7.2%
8	66	6.0%
9	58	5.3%
0	49	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1103	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	365	33.1%
2	111	10.1%
3	99	9.0%
4	99	9.0%
5	91	8.3%
6	86	7.8%
7	79	7.2%
8	66	6.0%
9	58	5.3%
0	49	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1103	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	365	33.1%
2	111	10.1%
3	99	9.0%
4	99	9.0%
5	91	8.3%
6	86	7.8%
7	79	7.2%
8	66	6.0%
9	58	5.3%
0	49	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1103	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	365	33.1%
2	111	10.1%
3	99	9.0%
4	99	9.0%
5	91	8.3%
6	86	7.8%
7	79	7.2%
8	66	6.0%
9	58	5.3%
0	49	4.4%

end_position
Real number (ℝ)

Distinct	20
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.147541

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	10
95-th percentile	15
Maximum	20
Range	19
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.3884386
Coefficient of variation (CV)	0.6139788
Kurtosis	-0.64187733
Mean	7.147541
Median Absolute Deviation (MAD)	3
Skewness	0.48016158
Sum	6104
Variance	19.258394
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	72	8.4%
2	72	8.4%
3	71	8.3%
4	71	8.3%
6	68	8.0%
5	67	7.8%
7	64	7.5%
8	63	7.4%
9	57	6.7%
10	48	5.6%
Other values (10)	201	23.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	72	8.4%
2	72	8.4%
3	71	8.3%
4	71	8.3%
5	67	7.8%
6	68	8.0%
7	64	7.5%
8	63	7.4%
9	57	6.7%
10	48	5.6%

Value	Count	Frequency (%)
20	1	0.1%
19	1	0.1%
18	3	0.4%
17	15	1.8%
16	18	2.1%
15	24	2.8%
14	28	3.3%
13	28	3.3%
12	38	4.4%
11	45	5.3%

points
Real number (ℝ)

ZEROS

Distinct	23
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.2394614

Minimum	0
Maximum	26
Zeros	201
Zeros (%)	23.5%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	6
Q3	13
95-th percentile	25
Maximum	26
Range	26
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.8290483
Coefficient of variation (CV)	0.95018934
Kurtosis	-0.45450985
Mean	8.2394614
Median Absolute Deviation (MAD)	6
Skewness	0.74121234
Sum	7036.5
Variance	61.293998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	201	23.5%
12	66	7.7%
15	65	7.6%
10	63	7.4%
8	63	7.4%
6	61	7.1%
4	61	7.1%
2	58	6.8%
18	54	6.3%
25	48	5.6%
Other values (13)	114	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	201	23.5%
0.5	1	0.1%
1	47	5.5%
2	58	6.8%
3	1	0.1%
4	61	7.1%
5	3	0.4%
6	61	7.1%
7	3	0.4%
7.5	1	0.1%

Value	Count	Frequency (%)
26	23	2.7%
25	48	5.6%
19	17	2.0%
18	54	6.3%
16	5	0.6%
15	65	7.6%
13	4	0.5%
12.5	1	0.1%
12	66	7.7%
11	3	0.4%

driver_ranking_points_before_race
Real number (ℝ)

ZEROS

Distinct	247
Distinct (%)	28.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.448478

Minimum	0
Maximum	575
Zeros	73
Zeros (%)	8.5%
Negative	0
Negative (%)	0.0%
Memory size	42.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10
median	40
Q3	116
95-th percentile	265
Maximum	575
Range	575
Interquartile range (IQR)	106

Descriptive statistics

Standard deviation	93.265125
Coefficient of variation (CV)	1.2042215
Kurtosis	3.9737411
Mean	77.448478
Median Absolute Deviation (MAD)	36.5
Skewness	1.836137
Sum	66141
Variance	8698.3836
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	73	8.5%
4	24	2.8%
1	23	2.7%
6	21	2.5%
2	20	2.3%
12	20	2.3%
10	16	1.9%
18	13	1.5%
16	13	1.5%
15	12	1.4%
Other values (237)	619	72.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	73	8.5%
1	23	2.7%
2	20	2.3%
3	9	1.1%
4	24	2.8%
5	12	1.4%
6	21	2.5%
7	6	0.7%
8	10	1.2%
9	8	0.9%

Value	Count	Frequency (%)
575	1	0.1%
549	1	0.1%
524	1	0.1%
491	1	0.1%
466	1	0.1%
454	1	0.1%
433	1	0.1%
429	1	0.1%
416	1	0.1%
400	1	0.1%

driver_ranking_before_race
Real number (ℝ)

Distinct	22
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.6896956

Minimum	1
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	13
95-th percentile	19
Maximum	22
Range	21
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.5801492
Coefficient of variation (CV)	0.64215704
Kurtosis	-0.87969473
Mean	8.6896956
Median Absolute Deviation (MAD)	4
Skewness	0.44907087
Sum	7421
Variance	31.138065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
1	66	7.7%
6	61	7.1%
7	61	7.1%
3	60	7.0%
2	59	6.9%
4	59	6.9%
5	55	6.4%
8	49	5.7%
9	43	5.0%
10	40	4.7%
Other values (12)	301	35.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	66	7.7%
2	59	6.9%
3	60	7.0%
4	59	6.9%
5	55	6.4%
6	61	7.1%
7	61	7.1%
8	49	5.7%
9	43	5.0%
10	40	4.7%

Value	Count	Frequency (%)
22	2	0.2%
21	10	1.2%
20	13	1.5%
19	26	3.0%
18	26	3.0%
17	28	3.3%
16	25	2.9%
15	32	3.7%
14	35	4.1%
13	37	4.3%

constructor_ranking_points_before_race
Real number (ℝ)

ZEROS

Distinct	256
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	151.87705

Minimum	0
Maximum	860
Zeros	44
Zeros (%)	5.2%
Negative	0
Negative (%)	0.0%
Memory size	42.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	21
median	83
Q3	235.75
95-th percentile	522.05
Maximum	860
Range	860
Interquartile range (IQR)	214.75

Descriptive statistics

Standard deviation	173.9571
Coefficient of variation (CV)	1.1453811
Kurtosis	2.0061145
Mean	151.87705
Median Absolute Deviation (MAD)	73
Skewness	1.5286161
Sum	129703
Variance	30261.072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	44	5.2%
34	19	2.2%
3	15	1.8%
16	15	1.8%
1	13	1.5%
2	12	1.4%
120	12	1.4%
8	12	1.4%
12	12	1.4%
11	10	1.2%
Other values (246)	690	80.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	44	5.2%
1	13	1.5%
2	12	1.4%
3	15	1.8%
4	6	0.7%
5	4	0.5%
6	8	0.9%
7	9	1.1%
8	12	1.4%
9	10	1.2%

Value	Count	Frequency (%)
860	2	0.2%
822	2	0.2%
782	2	0.2%
759	2	0.2%
731	2	0.2%
719	2	0.2%
706	1	0.1%
696	2	0.2%
657	2	0.2%
656	2	0.2%

constructor_ranking_before_race
Real number (ℝ)

Distinct	10
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6042155

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	7
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.761786
Coefficient of variation (CV)	0.59983856
Kurtosis	-0.96593568
Mean	4.6042155
Median Absolute Deviation (MAD)	2
Skewness	0.42339794
Sum	3932
Variance	7.6274617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	124	14.5%
2	119	13.9%
3	119	13.9%
4	102	11.9%
5	84	9.8%
6	76	8.9%
7	70	8.2%
9	61	7.1%
8	50	5.9%
10	49	5.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	14.5%
2	119	13.9%
3	119	13.9%
4	102	11.9%
5	84	9.8%
6	76	8.9%
7	70	8.2%
8	50	5.9%
9	61	7.1%
10	49	5.7%

Value	Count	Frequency (%)
10	49	5.7%
9	61	7.1%
8	50	5.9%
7	70	8.2%
6	76	8.9%
5	84	9.8%
4	102	11.9%
3	119	13.9%
2	119	13.9%
1	124	14.5%

laps
Real number (ℝ)

Distinct	19
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	57.202576

Minimum	1
Maximum	78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1
5-th percentile	44
Q1	52
median	57
Q3	66
95-th percentile	72
Maximum	78
Range	77
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	12.360355
Coefficient of variation (CV)	0.21608039
Kurtosis	7.2733123
Mean	57.202576
Median Absolute Deviation (MAD)	6
Skewness	-1.9517433
Sum	48851
Variance	152.77838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
57	106	12.4%
71	86	10.1%
53	82	9.6%
58	79	9.3%
50	69	8.1%
56	61	7.1%
51	57	6.7%
70	56	6.6%
52	42	4.9%
66	38	4.4%
Other values (9)	178	20.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	18	2.1%
28	18	2.1%
44	30	3.5%
50	69	8.1%
51	57	6.7%
52	42	4.9%
53	82	9.6%
56	61	7.1%
57	106	12.4%
58	79	9.3%

Value	Count	Frequency (%)
78	15	1.8%
72	35	4.1%
71	86	10.1%
70	56	6.6%
66	38	4.4%
64	14	1.6%
63	22	2.6%
62	14	1.6%
59	12	1.4%
58	79	9.3%

time
Text

Distinct	852
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Length

Max length	11
Median length	10
Mean length	7.823185
Min length	6

Characters and Unicode

Total characters	6681
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	850 ?
Unique (%)	99.5%

Sample

1st row	1:32:03.897
2nd row	+0.745
3rd row	+37.383
4th row	+46.466
5th row	+59.090

Value	Count	Frequency (%)
58.123	2	0.2%
46.358	2	0.2%
35.743	1	0.1%
1:34:31.421	1	0.1%
39.735	1	0.1%
33.530	1	0.1%
23.702	1	0.1%
37.383	1	0.1%
46.466	1	0.1%
59.090	1	0.1%
Other values (842)	842	98.6%

Most occurring characters

Value	Count	Frequency (%)
.	854	12.8%
1	851	12.7%
+	782	11.7%
2	563	8.4%
3	498	7.5%
4	463	6.9%
5	442	6.6%
0	436	6.5%
:	400	6.0%
6	359	5.4%
Other values (3)	1033	15.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6681	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	854	12.8%
1	851	12.7%
+	782	11.7%
2	563	8.4%
3	498	7.5%
4	463	6.9%
5	442	6.6%
0	436	6.5%
:	400	6.0%
6	359	5.4%
Other values (3)	1033	15.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6681	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	854	12.8%
1	851	12.7%
+	782	11.7%
2	563	8.4%
3	498	7.5%
4	463	6.9%
5	442	6.6%
0	436	6.5%
:	400	6.0%
6	359	5.4%
Other values (3)	1033	15.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6681	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	854	12.8%
1	851	12.7%
+	782	11.7%
2	563	8.4%
3	498	7.5%
4	463	6.9%
5	442	6.6%
0	436	6.5%
:	400	6.0%
6	359	5.4%
Other values (3)	1033	15.5%

milliseconds
Real number (ℝ)

UNIQUE

Distinct	854
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5906715.6

Minimum	207071
Maximum	11012095
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	207071
5-th percentile	4833677.4
Q1	5278019
median	5640322
Q3	6139782
95-th percentile	8427837.5
Maximum	11012095
Range	10805024
Interquartile range (IQR)	861763

Descriptive statistics

Standard deviation	1470523.9
Coefficient of variation (CV)	0.24895797
Kurtosis	5.5602297
Mean	5906715.6
Median Absolute Deviation (MAD)	385976
Skewness	0.049781128
Sum	5.0443351 × 10⁹
Variance	2.1624406 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5523897	1	0.1%
6593870	1	0.1%
6595371	1	0.1%
5277940	1	0.1%
5302030	1	0.1%
5310329	1	0.1%
5313752	1	0.1%
5323638	1	0.1%
5341260	1	0.1%
5342067	1	0.1%
Other values (844)	844	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
207071	1	0.1%
209066	1	0.1%
209672	1	0.1%
211567	1	0.1%
214550	1	0.1%
217248	1	0.1%
218650	1	0.1%
219679	1	0.1%
222556	1	0.1%
223237	1	0.1%

Value	Count	Frequency (%)
11012095	1	0.1%
10996527	1	0.1%
10991047	1	0.1%
10990500	1	0.1%
10990020	1	0.1%
10979603	1	0.1%
10977908	1	0.1%
10976881	1	0.1%
10974786	1	0.1%
10974147	1	0.1%

statusId
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

1	854

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	854
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	854	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	854	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	854	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	854	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	854	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	854	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	854	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	854	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	854	100.0%

status
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

Finished	854

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	6832
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Finished
2nd row	Finished
3rd row	Finished
4th row	Finished
5th row	Finished

Common Values

Value	Count	Frequency (%)
Finished	854	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
finished	854	100.0%

Most occurring characters

Value	Count	Frequency (%)
i	1708	25.0%
F	854	12.5%
n	854	12.5%
s	854	12.5%
h	854	12.5%
e	854	12.5%
d	854	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6832	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1708	25.0%
F	854	12.5%
n	854	12.5%
s	854	12.5%
h	854	12.5%
e	854	12.5%
d	854	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6832	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1708	25.0%
F	854	12.5%
n	854	12.5%
s	854	12.5%
h	854	12.5%
e	854	12.5%
d	854	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6832	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1708	25.0%
F	854	12.5%
n	854	12.5%
s	854	12.5%
h	854	12.5%
e	854	12.5%
d	854	12.5%

circuitId
Real number (ℝ)

Distinct	28
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.820843

Minimum	1
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.6 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	9
median	21.5
Q3	70
95-th percentile	79
Maximum	80
Range	79
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	28.95389
Coefficient of variation (CV)	0.85609606
Kurtosis	-1.3710339
Mean	33.820843
Median Absolute Deviation (MAD)	15.5
Skewness	0.57734982
Sum	28883
Variance	838.32777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
77	52	6.1%
79	51	6.0%
13	48	5.6%
3	47	5.5%
9	42	4.9%
14	42	4.9%
73	41	4.8%
24	39	4.6%
22	37	4.3%
39	35	4.1%
Other values (18)	420	49.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	31	3.6%
3	47	5.5%
4	27	3.2%
5	9	1.1%
6	29	3.4%
7	31	3.6%
9	42	4.9%
11	25	2.9%
13	48	5.6%
14	42	4.9%

Value	Count	Frequency (%)
80	17	2.0%
79	51	6.0%
78	18	2.1%
77	52	6.1%
75	11	1.3%
73	41	4.8%
71	11	1.3%
70	29	3.4%
69	34	4.0%
39	35	4.1%

constructor_ranking_points_before_race_mean
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	854
Missing (%)	100.0%
Memory size	45.6 KiB

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	resultId	raceId	race_name	year	race_date	driverId	forename	surname	constructorId	constructor_name	avg_season_pit_stop_duration	start_position	end_positionText	end_position	points	driver_ranking_points_before_race	driver_ranking_before_race	constructor_ranking_points_before_race	constructor_ranking_before_race	laps	time	milliseconds	statusId	status	circuitId	constructor_ranking_points_before_race_mean
24960	24966	1052	Bahrain Grand Prix	2021	2021-03-28	1	Lewis	Hamilton	131	Mercedes	24.118133	2	1	1	25.0	343	2	546	1	56	1:32:03.897	5523897	1	Finished	3	NaN
24961	24967	1052	Bahrain Grand Prix	2021	2021-03-28	830	Max	Verstappen	9	Red Bull	23.978026	1	2	2	18.0	351	1	541	2	56	+0.745	5524642	1	Finished	3	NaN
24962	24968	1052	Bahrain Grand Prix	2021	2021-03-28	822	Valtteri	Bottas	131	Mercedes	24.118133	3	3	3	16.0	203	3	546	1	56	+37.383	5561280	1	Finished	3	NaN
24963	24969	1052	Bahrain Grand Prix	2021	2021-03-28	846	Lando	Norris	1	McLaren	24.527000	7	4	4	12.0	153	5	258	4	56	+46.466	5570363	1	Finished	3	NaN
24965	24971	1052	Bahrain Grand Prix	2021	2021-03-28	844	Charles	Leclerc	6	Ferrari	24.301857	4	6	6	8.0	152	6	297	3	56	+59.090	5582987	1	Finished	3	NaN
24966	24972	1052	Bahrain Grand Prix	2021	2021-03-28	817	Daniel	Ricciardo	1	McLaren	24.527000	6	7	7	6.0	105	8	258	4	56	+66.004	5589901	1	Finished	3	NaN
24967	24973	1052	Bahrain Grand Prix	2021	2021-03-28	832	Carlos	Sainz	6	Ferrari	24.301857	8	8	8	4.0	145	7	297	3	56	+67.100	5590997	1	Finished	3	NaN
24968	24974	1052	Bahrain Grand Prix	2021	2021-03-28	852	Yuki	Tsunoda	213	AlphaTauri	25.659841	13	9	9	2.0	20	14	112	6	56	+85.692	5609589	1	Finished	3	NaN
24969	24975	1052	Bahrain Grand Prix	2021	2021-03-28	840	Lance	Stroll	117	Aston Martin	25.206119	10	10	10	1.0	34	13	77	7	56	+86.713	5610610	1	Finished	3	NaN
24970	24976	1052	Bahrain Grand Prix	2021	2021-03-28	8	Kimi	Räikkönen	51	Alfa Romeo	25.433551	14	11	11	0.0	10	16	11	9	56	+88.864	5612761	1	Finished	3	NaN

	resultId	raceId	race_name	year	race_date	driverId	forename	surname	constructorId	constructor_name	avg_season_pit_stop_duration	start_position	end_positionText	end_position	points	driver_ranking_points_before_race	driver_ranking_before_race	constructor_ranking_points_before_race	constructor_ranking_before_race	laps	time	milliseconds	statusId	status	circuitId	constructor_ranking_points_before_race_mean
26388	26394	1126	Miami Grand Prix	2024	2024-05-05	839	Esteban	Ocon	214	Alpine F1 Team	24.166955	13	10	10	1.0	0	16	0	9	57	+39.746	5489622	1	Finished	79	NaN
26389	26395	1126	Miami Grand Prix	2024	2024-05-05	807	Nico	Hülkenberg	210	Haas F1 Team	23.899478	9	11	11	0.0	4	13	5	7	57	+40.789	5490665	1	Finished	79	NaN
26390	26396	1126	Miami Grand Prix	2024	2024-05-05	842	Pierre	Gasly	214	Alpine F1 Team	24.166955	12	12	12	0.0	0	19	0	9	57	+44.958	5494834	1	Finished	79	NaN
26391	26397	1126	Miami Grand Prix	2024	2024-05-05	857	Oscar	Piastri	1	McLaren	22.434800	6	13	13	0.0	38	6	96	3	57	+49.756	5499632	1	Finished	79	NaN
26392	26398	1126	Miami Grand Prix	2024	2024-05-05	855	Guanyu	Zhou	15	Sauber	26.523905	19	14	14	0.0	0	17	0	10	57	+49.979	5499855	1	Finished	79	NaN
26393	26399	1126	Miami Grand Prix	2024	2024-05-05	817	Daniel	Ricciardo	215	RB F1 Team	22.021375	20	15	15	0.0	0	18	7	6	57	+50.956	5500832	1	Finished	79	NaN
26394	26400	1126	Miami Grand Prix	2024	2024-05-05	822	Valtteri	Bottas	15	Sauber	26.523905	16	16	16	0.0	0	20	0	10	57	+52.356	5502232	1	Finished	79	NaN
26395	26401	1126	Miami Grand Prix	2024	2024-05-05	840	Lance	Stroll	117	Aston Martin	22.919609	11	17	17	0.0	9	10	40	5	57	+55.173	5505049	1	Finished	79	NaN
26396	26402	1126	Miami Grand Prix	2024	2024-05-05	848	Alexander	Albon	3	Williams	23.691211	14	18	18	0.0	0	15	0	8	57	+1:16.091	5525967	1	Finished	79	NaN
26397	26403	1126	Miami Grand Prix	2024	2024-05-05	825	Kevin	Magnussen	210	Haas F1 Team	23.899478	18	19	19	0.0	1	14	5	7	57	+1:24.683	5534559	1	Finished	79	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts